分析生态友好型和伊斯兰数字货币与绿色投资之间的相互作用

IF 12.9 1区 管理学 Q1 BUSINESS
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引用次数: 0

摘要

本研究旨在全面了解数字创新与可持续投资之间的相互作用,特别是它们在促进能源部门的经济复原力和可持续性方面的作用。为此,本研究探讨了广泛使用能源密集型加密资产技术可能带来的后果,重点关注那些严重依赖不可再生能源的技术。分析结果表明,除 Dash Green 市场外,基于加密货币的数字创新与可持续投资之间的相互联系在以高回报和上尾部为特征的牛市中最为明显。在各种市场状态下,比特币和恒星币与生态友好型金融企业之间的联系最为紧密,这表明它们与可持续投资组合之间的相互作用十分强劲。使用埃尔曼神经网络的总连接指数显示,与其他数字创新相比,绿色合成加密货币驱动的创新具有更高的非线性动态信息。本研究阐明了基于加密货币的数字创新与可持续投资在不同市场条件下的动态关系,有助于加深学者对两者之间相互联系的理解。这些发现强调了进一步分析的必要性,以充分理解这些资产之间错综复杂的关系,尤其是不同数量级之间的关系,并为可持续金融领域的合理投资决策提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the interplay between eco-friendly and Islamic digital currencies and green investments

This study aimed to provide a comprehensive understanding of the interplay between digital innovations and sustainable investments, specifically regarding their roles in promoting economic resilience and sustainability in the energy sector. To this end, the present study examined the possible consequences of the widespread use of energy-intensive crypto-asset technologies, focusing on those that rely heavily on non-renewable energy sources. The analytical results demonstrated that the interconnectedness between cryptocurrency-based digital innovations and sustainable investments was most pronounced in bull markets characterized by high returns and upper tails, except for the Dash Green market. Bitcoin and Stellar exhibited the strongest connections with eco-friendly financial ventures across various market states, indicating their robust interplay with sustainable portfolios. The total connectedness index using an Elman neural network revealed that higher non-linear dynamic information was associated with green-synthesized cryptocurrency-driven innovations, compared with other digital innovations. This study contributes to scholarly understanding of the interconnectedness between cryptocurrency-based digital innovations and sustainable investments by elucidating their dynamics under different market conditions. These findings underscore the need for further analysis to fully comprehend the intricate relationship between these assets, particularly across different quantile levels, as well as to inform sound investment decisions in sustainable finance.

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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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